Multi‐objective control and operation of grid‐connected small hydro‐solar PV‐battery energy storage‐based distributed generation

Chandran, Vineet P.; Kewat, Seema; Singh, Bhim

doi:10.1049/iet-rpg.2020.0212

Cited by 11 publications

(3 citation statements)

References 30 publications

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“…The amorphous membrane of transparent silicon battery has the effect of weakening reflection and inactivation, so it can also be called inactivation membrane, and its configuration is related to short-distance chylic bonds [16][17]. There are basically two kinds of inactivation membranes that are more common in daily life, namely silicon nitride membrane and silicon oxide membrane [18][19].…”

Section: Investigation On Pid Damping Based On Inactivation Mediums F...mentioning

confidence: 99%

Study on PID performance degradation based on passivation materials such as alumina/silicon nitride SiN crystalline silicon solar cells

Guo

et al. 2023

THERM SCI

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Solar energy is a pure and reproducible energy. China has paid more and more consideration to the investigation and employment of solar energy. The investigation focuses on the phenomenon of PID capability degradation of inactivation mediums for instance alumina/silicon nitride SiN in transparent silicon high-efficiency solar cells. Through the laboratorial investigation on the effect of individual inactivation membrane processes on the PID damping behavior, it is found that the deposition approach of silicon oxide and silicon nitride inactivation membranes on the surface of transparent silicon cells directly affects the PID damping. Excellent anti-PID capability; single-layer silicon oxide membrane with the same thickness has better anti-PID capability than silicon nitride membrane; double-layer silicon oxide/silicon nitride superimposed membrane with the enhancement of refractive index, the anti-PID damping capability gradually enhancements, and Better anti-PID capability than monolayer silicon nitride. Investigation on the PID capability damping of inactivation mediums is of great significance to further the capability of solar cells and help to further the effective employment of solar energy.

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Section: Investigation On Pid Damping Based On Inactivation Mediums F...mentioning

confidence: 99%

Study on PID performance degradation based on passivation materials such as alumina/silicon nitride SiN crystalline silicon solar cells

Guo

et al. 2023

THERM SCI

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“…A battery is added at dc link of the VSC to maintain the power balance between the DG and the loads. Perturb and observe (P&O) based PPPT control 18 is utilized to harness peak power from a SPV under changing solar insolation 19 . Whereas an IC method based PPPT control is utilized to harvest peak power from an SPV and the extra remaining power is stored in a battery system 20,21 .…”

Section: Introductionmentioning

confidence: 99%

Implementation of variable gain controller based improved phase locked loop approach to enhance power quality in autonomous microgrid

Kundu

Singh

Giri³

2022

Int J Numerical Modelling

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In this paper, an energy storage system (ESS), solar photovoltaic (SPV) and wind‐driven self‐excited induction generator (SEIG) is being used to establish an autonomous microgrid (MG). A variable gain controller based improved phase locked loop (VGC‐IPLL) is implemented to detect phase angle and generate unit templates for implementing a power quality control scheme in an autonomous MG. This controller enables the system adaptability to input frequency deviations and quick response with reduced steady state error. The novelty of this work is the implementation of VGC‐IPLL based controller in MG which automatically varies the gain according to variation in error. An incremental conductance (IC) based peak power point tracking technique is implemented to harness peak power from an SPV. Further, An ESS is interfaced at dc link of the voltage source converter (VSC) to maintain the power equilibrium between the renewable energy sources (RES's) and the unbalanced load. A bi‐directional controller (BDC) provides dc link voltage regulation and manages the charging/discharging mode of an ESS. Moreover, an ESS provides real/reactive power support through VSC during the intermittent condition of RES's and consumes the unused power during light load conditions. The proposed control with VSC provides multi‐function such as harmonics abatement, real/reactive power support, regulation of dc link voltage, load balancing and minimizes the power quality issues of autonomous MG.

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“…In [8], the dynamics of PV panels and batteries are modeled and then a control system is suggested for stabilizing output voltage. In [9], a multi-objective controller is developed to regulate output voltage under nonlinear output load. The mode-triggered droop controller is designed in [10] for energy management, and its energy distribution capability is examined in various conditions.…”

Section: Introductionmentioning

confidence: 99%

A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem

et al. 2022

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Background: The use of renewable energies is extended due to their valuable features such as abundant and clarity. The microgrids that include the renewable energies are widely used in various applications such as power supplying of remote areas, increasing the network reliability, reducing the greenhouse gas emission, reducing the consumption demand, eliminating the consumption peaks, and so on. But, energy management in the these systems in an challenging problem. Because, there are some natural perturbations such as variation output load, grid-side faults and changes of irradiation and temperature. Aim and Objective: The problem is to design a controller to regulate the output voltage/energy under aforementioned disturbances. Methods: The paper presents a new approach for energy management in Photovoltaic (PV)/Battery/Fuel Cells (FC) systems. The uncertainties are compensated by the new optimization rules based on Immersion and Invariance (I&I) theorem and proposed deep learning type-2 fuzzy logic compensator (T2FLC). The objective function of T2FLC is to minimize the tracking error in presence of perturbations. The adaptation rules are derived such that the I&I stabilization criterions are satisfied. Both rules and fuzzy sets (FSs) of T2FLCs are optimized by guaranteed stability rules to tackle the effect of perturbations and estimation errors. Results and Discussion: It is shown that a well voltage/energy regulation performance is achieved under variation of temperature, suddenly changes of load and variation of irradiation. A comparison with similar controllers demonstrates the superiority of the suggested approach. Conclusion: The suggested regulator do not depend on the mathematical models, and results in good accuracy under difficult conditions, then it can be used in various applications.INDEX TERMS Energy management, immersion and invariance, deep learning, fuzzy systems, voltage control, stability.• Both rules and FS parameters are optimized.• The superiority of the designed method is examined under various conditions and comparison with other conventional approaches.

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Multi‐objective control and operation of grid‐connected small hydro‐solar PV‐battery energy storage‐based distributed generation

Cited by 11 publications

References 30 publications

Study on PID performance degradation based on passivation materials such as alumina/silicon nitride SiN crystalline silicon solar cells

Study on PID performance degradation based on passivation materials such as alumina/silicon nitride SiN crystalline silicon solar cells

Implementation of variable gain controller based improved phase locked loop approach to enhance power quality in autonomous microgrid

A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem

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